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Moogsoft Unified Cloud Monitoring Platform Adds New Features and Integrations

Moogsoft announced new product features and enhancements that increase context and improve workflow automation to provide customers with an unified cloud monitoring solution.

New enhancements and integrations include troubleshooting capabilities with Datadog for events and metrics; integration with Prometheus Alert manager to gain context and turn data into action; enhanced Landing Pages solution designed to answer user questions about features and configurations; and updates to reduce false positives and increase incident insights through flexible, transparent and preconfigured Splunk, Telegraf and AppDynamics integrations.

Moogsoft’s unified cloud monitoring platform is the only solution that gives users the ability to view their entire tech stack in one dashboard while receiving automated, actionable insights to assist SREs and IT Operations teams in resolving issues quickly and efficiently.

When an issue occurs in an organization's network, SREs or ITOps professionals need to have a clear understanding of the problem so a resolution can be made efficiently. Moogsoft addresses the problem by integrating all tools into one unified cloud platform that can relay actionable insights necessary to resolve the issue and ensure no downstream impacts negatively affect additional systems and end-users. Not only does the Moogsoft platform ingest data and integrate with any tools in a user’s tech stack, it also provides correlation and actionable insights for resolution — an unrivaled capability in the competitive landscape.

“Monitoring alone can’t move businesses forward if they don’t understand the context of what went wrong. Context achieved through Observability helps customers make sense of data and illustrates how to prevent issues from happening again,” said Adam Frank, Moogsoft’s VP of Product Management and UX Design. “Moogsoft is committed to providing users with the only cohesive platform and holistic view of their systems. With the new enhancements and integrations, users can gain deeper insights from data, improve workflows and get back to what they do best — providing a top customer experience.”

The latest product features and updates improve workflow automation, increase incident context and monitor efficiencies so teams can focus on diagnosing and fixing problems in real-time. The latest feature benefits and enhancements include:

■ Increased context for troubleshooting

- Integrate Datadog events and metrics with Moogsoft: This integration allows users to automatically adjust the integration query to pull only important metric points and meaningful alerts. This provides more context and improves processing and workflow actions to automatically find potential incidents to address before they impact business.

- Select the tags you want propagated: Incidents in Moogsoft will automatically aggregate and duplicate the tags from alerts, including any custom tags. This allows for the quickest path to remediation to lower mean-time-to-resolve (MTTR) and remain within SLAs and SLOs.

■ Turn data into action

- Integrate Prometheus Alertmanager with Moogsoft: Sending Prometheus Alertmanager alerts to Moogsoft to perform deduplication and alert correlation provides a single source of aggregation and workflow to gain context about containers in one place and fix issues faster.

■ Spend less time on administration and maintenance

- Landing Pages: Landing Pages gives an overview of the feature, explaining what it does and why it is essential. It answers questions that users might have about features and configurations to provide support and, most importantly, save administrators time.

■ Reduce false positives and increase the context of incidents with integrations

- Telegraf: Sending Telegraf and InfluxDB data to the Telegraph endpoint for automated anomaly detection can help detect actionable and meaningful data.

- Splunk: The Moogsoft Splunk add-on allows users to stream important events and send individual alerts, helping to provide awareness and resolutions in an accelerated and automated fashion.

- AppDynamics, Dynatrace and New Relic: These application performance management (APM) tools provide performance alerts so users can react quickly when issues occur. The recent integration updates bring all the APM alerts together with other application alerts in Moogsoft to align team focus and correct issues that impact business.

- Zabbix and Pingdom: This update to the Zabbix and Pingdom integration makes ingesting alerts into Moogsoft more transparent. Users will know what’s impacting website performance and availability and whether it is an alert or a deeper problem, allowing teams to fix issues quickly.

- Ansible Tower: This integration with Moogsoft provides users with the context of the failed changes in an IT environment, allowing teams to restore the service quickly, investigate why it failed and ensure it doesn’t happen again.

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Moogsoft Unified Cloud Monitoring Platform Adds New Features and Integrations

Moogsoft announced new product features and enhancements that increase context and improve workflow automation to provide customers with an unified cloud monitoring solution.

New enhancements and integrations include troubleshooting capabilities with Datadog for events and metrics; integration with Prometheus Alert manager to gain context and turn data into action; enhanced Landing Pages solution designed to answer user questions about features and configurations; and updates to reduce false positives and increase incident insights through flexible, transparent and preconfigured Splunk, Telegraf and AppDynamics integrations.

Moogsoft’s unified cloud monitoring platform is the only solution that gives users the ability to view their entire tech stack in one dashboard while receiving automated, actionable insights to assist SREs and IT Operations teams in resolving issues quickly and efficiently.

When an issue occurs in an organization's network, SREs or ITOps professionals need to have a clear understanding of the problem so a resolution can be made efficiently. Moogsoft addresses the problem by integrating all tools into one unified cloud platform that can relay actionable insights necessary to resolve the issue and ensure no downstream impacts negatively affect additional systems and end-users. Not only does the Moogsoft platform ingest data and integrate with any tools in a user’s tech stack, it also provides correlation and actionable insights for resolution — an unrivaled capability in the competitive landscape.

“Monitoring alone can’t move businesses forward if they don’t understand the context of what went wrong. Context achieved through Observability helps customers make sense of data and illustrates how to prevent issues from happening again,” said Adam Frank, Moogsoft’s VP of Product Management and UX Design. “Moogsoft is committed to providing users with the only cohesive platform and holistic view of their systems. With the new enhancements and integrations, users can gain deeper insights from data, improve workflows and get back to what they do best — providing a top customer experience.”

The latest product features and updates improve workflow automation, increase incident context and monitor efficiencies so teams can focus on diagnosing and fixing problems in real-time. The latest feature benefits and enhancements include:

■ Increased context for troubleshooting

- Integrate Datadog events and metrics with Moogsoft: This integration allows users to automatically adjust the integration query to pull only important metric points and meaningful alerts. This provides more context and improves processing and workflow actions to automatically find potential incidents to address before they impact business.

- Select the tags you want propagated: Incidents in Moogsoft will automatically aggregate and duplicate the tags from alerts, including any custom tags. This allows for the quickest path to remediation to lower mean-time-to-resolve (MTTR) and remain within SLAs and SLOs.

■ Turn data into action

- Integrate Prometheus Alertmanager with Moogsoft: Sending Prometheus Alertmanager alerts to Moogsoft to perform deduplication and alert correlation provides a single source of aggregation and workflow to gain context about containers in one place and fix issues faster.

■ Spend less time on administration and maintenance

- Landing Pages: Landing Pages gives an overview of the feature, explaining what it does and why it is essential. It answers questions that users might have about features and configurations to provide support and, most importantly, save administrators time.

■ Reduce false positives and increase the context of incidents with integrations

- Telegraf: Sending Telegraf and InfluxDB data to the Telegraph endpoint for automated anomaly detection can help detect actionable and meaningful data.

- Splunk: The Moogsoft Splunk add-on allows users to stream important events and send individual alerts, helping to provide awareness and resolutions in an accelerated and automated fashion.

- AppDynamics, Dynatrace and New Relic: These application performance management (APM) tools provide performance alerts so users can react quickly when issues occur. The recent integration updates bring all the APM alerts together with other application alerts in Moogsoft to align team focus and correct issues that impact business.

- Zabbix and Pingdom: This update to the Zabbix and Pingdom integration makes ingesting alerts into Moogsoft more transparent. Users will know what’s impacting website performance and availability and whether it is an alert or a deeper problem, allowing teams to fix issues quickly.

- Ansible Tower: This integration with Moogsoft provides users with the context of the failed changes in an IT environment, allowing teams to restore the service quickly, investigate why it failed and ensure it doesn’t happen again.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...